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# RECENT UPDATES
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- 2020.9.22 Update the PP-OCR technical article, https://arxiv.org/abs/2009.09941
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- 2020.9.19 Update the ultra lightweight compressed ppocr_mobile_slim series models, the overall model size is 3.5M (see [PP-OCR Pipline](../../README.md#PP-OCR-Pipline)), suitable for mobile deployment. [Model Downloads](../../README.md#Supported-Chinese-model-list)
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- 2020.9.17 Update the ultra lightweight ppocr_mobile series and general ppocr_server series Chinese and English ocr models, which are comparable to commercial effects. [Model Downloads](../../README.md#Supported-Chinese-model-list)
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- 2020.9.17 update [English recognition model](./models_list_en.md#english-recognition-model) and [Multilingual recognition model](./models_list_en.md#english-recognition-model), `German`, `French`, `Japanese` and `Korean` have been supported. Models for more languages will continue to be updated.
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- 2020.8.24 Support the use of PaddleOCR through whl package installation，pelease refer [PaddleOCR Package](https://github.com/PaddlePaddle/PaddleOCR/blob/develop/doc/doc_en/whl_en.md)
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- 2020.8.16 Release text detection algorithm [SAST](https://arxiv.org/abs/1908.05498) and text recognition algorithm [SRN](https://arxiv.org/abs/2003.12294)
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- 2020.7.23, Release the playback and PPT of live class on BiliBili station, PaddleOCR Introduction, [address](https://aistudio.baidu.com/aistudio/course/introduce/1519)
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- 2020.7.15, Add mobile App demo , support both iOS and Android ( based on easyedge and Paddle Lite)
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- 2020.7.15, Improve the deployment ability, add the C + + inference , serving deployment. In addtion, the benchmarks of the ultra-lightweight Chinese OCR model are provided.
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- 2020.7.15, Add several related datasets, data annotation and synthesis tools.
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- 2020.7.9 Add a new model to support recognize the character "space".
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- 2020.7.9 Add the data augument and learning rate decay strategies during training.
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- 2020.6.8 Add [datasets](./datasets_en.md) and keep updating
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- 2020.6.5 Support exporting `attention` model to `inference_model`
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- 2020.6.5 Support separate prediction and recognition, output result score
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- 2020.6.5 Support exporting `attention` model to `inference_model`
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- 2020.6.5 Support separate prediction and recognition, output result score
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- 2020.5.30 Provide Lightweight Chinese OCR online experience
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- 2020.5.30 Model prediction and training support on Windows system
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- 2020.5.30 Open source general Chinese OCR model
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- 2020.5.14 Release [PaddleOCR Open Class](https://www.bilibili.com/video/BV1nf4y1U7RX?p=4)
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- 2020.5.14 Release [PaddleOCR Practice Notebook](https://aistudio.baidu.com/aistudio/projectdetail/467229)
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- 2020.5.14 Open source 8.6M lightweight Chinese OCR model
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